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1
说明: IMPARARE IL C++ in 2 ore e mezzo?
Modulo-111
- 2015-03-10 23:23:08下载
- 积分:1
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c63_SNRpsk
tjis program estimate the cumulant order (6,3) for mpsk modulation and plot these cumulant for each modulation
- 2013-12-26 21:13:40下载
- 积分:1
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xuanhui
基于pid模糊控制的船舶转向控制
simulink(Ship steering control based on PID fuzzy control
Simulink)
- 2020-10-08 16:37:36下载
- 积分:1
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MUSIC111
MUSIC算法的仿真,对于分辨空间多目标可以有何不错的效果(MUSIC algorithm simulation, the spatial resolution multi-objective what good results can be)
- 2010-11-30 14:44:07下载
- 积分:1
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MATLAB
gui based calculator
- 2012-03-28 02:02:27下载
- 积分:1
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Matlab-GUI_image
图像的加噪,如高斯噪声,椒盐噪声,乘性噪声等。均匀模板,加权模板,平滑去噪,中值滤波(Add image noise, such as Gaussian noise, impulse noise, multiplicative noise. Uniform template, weighted template, denoising smoothing, median filtering)
- 2015-01-22 12:36:14下载
- 积分:1
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Chap1
雷达系统仿真的第一单元仿真程序,程序为原版书籍的程序,注释为英文(Radar system simulation unit simulation program, the procedures of the program as the original books, comments in English)
- 2013-05-17 20:14:50下载
- 积分:1
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Relevance-Vector-Machine
说明: 相关向量机(Relevance Vector Machine,简称RVM)是Micnacl E.Tipping于2000年提出的一种与SVM(Support Vector Machine)类似的稀疏概率模型,是一种新的监督学习方法。
它的训练是在贝叶斯框架下进行的,在先验参数的结构下基于主动相关决策理论(automatic relevance determination,简称ARD)来移除不相关的点,从而获得稀疏化的模型。在样本数据的迭代学习过程中,大部分参数的后验分布趋于零,与预测值无关,那些非零参数对应的点被称作相关向量(Relevance Vectors),体现了数据中最核心的特征。同支持向量机相比,相关向量机最大的优点就是极大地减少了核函数的计算量,并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method.
Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)
- 2021-03-23 21:20:53下载
- 积分:1
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Fractal-image-coding
说明: 描述分形编码和解码原理的非常好的一份电子文档,对实验结果也进行了详细的分析(Describe the principles of fractal coding and decoding an electronic document very well the experimental results carried out a detailed analysis of)
- 2011-03-28 16:40:47下载
- 积分:1
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detectecho
基于小波消噪的雷达回波检测,可以检测雷达回波的有无及其准确的位置(based on wavelet denoising radar echo testing, can detect radar echoes and the availability of accurate location)
- 2007-01-09 12:34:01下载
- 积分:1